In my previous role as a Marketing Science Partner at a tech company, I was tasked with improving the ROAS (Return on Ad Spend) for our digital marketing campaigns. Our performance metrics indicated stagnation in our digital advertising efforts, which necessitated a new strategic direction.
To address this issue, I first gathered data from multiple sources including Google Analytics, Facebook Ads Manager, and our CRM system. I conducted an in-depth analysis to identify patterns and insights. One key finding was that our paid social campaigns were underperforming in specific demographics that were previously overlooked.
Based on these insights, I proposed a data-driven strategy that focused on re-allocating budget towards high-performing demographics and optimizing ad creatives accordingly. I used Tableau to visualize complex data and crafted a comprehensive report that highlighted the potential ROAS improvements.
I presented my findings in a stakeholder meeting which included senior executives from marketing, finance, and sales departments. During the presentation, I emphasized:
To ensure clarity and engagement, I included clear data visuals and real-life examples of past successful campaigns within the presentation. After addressing various questions and concerns, the stakeholders agreed to pilot my proposed strategy for a quarter.
The implementation resulted in a significant increase in ROAS, from 3:1 to 5:1 within the first three months. This success not only validated our strategic shift but also positioned our marketing approach as a benchmark within the company.
Overall, leveraging data and insights effectively helped drive a major strategic decision that had a positive impact on our digital marketing performance and budget optimization.
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